Daniel Kifer

Professor of Computer Science & Engineering

Daniel Kifer

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Learning Soil Moisture Convolutional Neural Networks Travel Time Semantics Neurons Big Data Moisture Trajectories Pixels Baseline Prolongation Coding Neural Networks Opinion Crime Science Hydrology Brain Trajectory Availability Experiments Weather Forecasting Network Architecture Climate

Most Recent Publications

Ron S. Jarmin, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Nathan Goldschlag, Michael Hawes, Sallie Ann Keller, Daniel Kifer, Philip Leclerc, Jerome P. Reiter, Rolando A. Rodríguez, Ian Schmutte, Victoria A. Velkoff, Pavel I. Zhuravlev, 2024, Proceedings of the National Academy of Sciences of the United States of America on p. e2401501121

Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang, 2024, Journal of Privacy and Confidentiality

Alexander G. Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles, 2023, on p. 9327-9335

Prabhav Borate, Jacques Rivière, Chris Marone, Ankur Mali, Daniel Kifer, Parisa Shokouhi, 2023, Nature Communications

Ron S. Jarmin, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Nathan Goldschlag, Michael B. Hawes, Sallie Ann Keller, Daniel Kifer, Philip Leclerc, Jerome P. Reiter, Rolando A. Rodríguez, Ian Schmutte, Victoria A. Velkoff, Pavel Zhuravlev, 2023, Proceedings of the National Academy of Sciences of the United States of America

Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew Farthing, Dapeng Fang, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Yalan Song, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Binayak Mohanty, Tirthankar Roy, Chonggang Xu, Kathryn Lawson, 2023, Nature Reviews Earth and Environment on p. 552-567

An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer, 2023, Advances in Neural Information Processing Systems

Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer, 2023, Proceedings of the VLDB Endowment on p. 1883-1896

Alexander Ororbia, Daniel Kifer, 2022, Nature Communications

Zeyu Ding, Yuxin Wang, Wang Yuxin, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, D Kifer, Daniel Kifer, 2022, VLDB Journal on p. 23-48

Most-Cited Papers

Pufferfish: A framework for mathematical privacy definitions

Daniel Kifer, Ashwin Machanavajjhala, 2014, ACM Transactions on Database Systems

Kuai Fang, Chaopeng Shen, Daniel Kifer, Xiao Yang, 2017, Geophysical Research Letters on p. 11,030-11,039

Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi John Chang, Sangram Ganguly, Kuo Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, Wen Ping Tsai, 2018, Hydrology and Earth System Sciences on p. 5639-5656

Learning to extract semantic structure from documents using multimodal fully convolutional neural networks

Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, Clyde Giles, 2017, on p. 4342–4351

Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li, 2016, on p. 635-644

Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles, 2017, on p. 3280-3286

Hongjian Wang, Xianfeng Tang, Yu Hsuan Kuo, Daniel Kifer, Zhenhui Li, 2019, ACM Transactions on Intelligent Systems and Technology

Anand Gopalakrishnan, Ankur Mali, Dan Kifer, Lee Giles, Alexander G. Ororbia, 2019, on p. 12108-12117

Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection

Dafang He, Scott Cohen, Brian Price, Daniel Kifer, C. Lee Giles, 2017, on p. 254-261